Tallo: A global tree allometry and crown architecture database

Jucker Tommaso, Fischer Fabian Jörg, Chave Jérôme, Coomes David A., Caspersen John, Ali Arshad, Loubota Panzou Grace Jopaul, Feldpausch Ted R., Falster Daniel, Usoltsev Vladimir A., Adu-Bredu Stephen, Alves Luciana F., Aminpour Mohammad, Angoboy Ilondea Bhely, Anten Niels P.R., Antin Cécile, Askari Yousef, Muñoz Rodrigo, Ayyappan Narayanan, Balvanera Patricia, Banin Lindsay F., Barbier Nicolas, Battles John J., Beeckman Hans, Bocko Yannick, Bond-Lamberty Ben, Bongers Frans, Bowers Samuel, Brade Thomas, Van Breugel Michiel, Chantrain Arthur, Chaudhary Rajeev, Dai Jingyu, Dalponte Michele, Dimobe Kangbéni, Domec Jean-Christophe, Doucet Jean-Louis, Duursma Remko A., Enríquez Moisés, van Ewijk Karin Y., Farfan-Rios William, Fayolle Adeline, Forni Eric, Forrester David I., Gilani Hammad, Godlee John L., Gourlet-Fleury Sylvie, et al.. 2022. Tallo: A global tree allometry and crown architecture database. Global Change Biology, 28 (17) : 5254-5268.

Url - jeu de données - Entrepôt autre : https://doi. org/10.5281/zenodo.6637599 / Type d'url non précisé : https://github.com/selva-lab-repo/TALLO

Résumé : Data capturing multiple axes of tree size and shape, such as a tree's stem diameter, height and crown size, underpin a wide range of ecological research—from developing and testing theory on forest structure and dynamics, to estimating forest carbon stocks and their uncertainties, and integrating remote sensing imagery into forest monitoring programmes. However, these data can be surprisingly hard to come by, particularly for certain regions of the world and for specific taxonomic groups, posing a real barrier to progress in these fields. To overcome this challenge, we developed the Tallo database, a collection of 498,838 georeferenced and taxonomically standardized records of individual trees for which stem diameter, height and/or crown radius have been measured. These data were collected at 61,856 globally distributed sites, spanning all major forested and non-forested biomes. The majority of trees in the database are identified to species (88%), and collectively Tallo includes data for 5163 species distributed across 1453 genera and 187 plant families. The database is publicly archived under a CC-BY 4.0 licence and can be access from: https://doi.org/10.5281/zenodo.6637599. To demonstrate its value, here we present three case studies that highlight how the Tallo database can be used to address a range of theoretical and applied questions in ecology—from testing the predictions of metabolic scaling theory, to exploring the limits of tree allometric plasticity along environmental gradients and modelling global variation in maximum attainable tree height. In doing so, we provide a key resource for field ecologists, remote sensing researchers and the modelling community working together to better understand the role that trees play in regulating the terrestrial carbon cycle.

Mots-clés Agrovoc : allométrie, Houppier, morphologie végétale

Mots-clés libres : Allometric scaling, Crown radius, Forest biomass, Forest ecology, Remote Sensing, Stem diameter, Tree height

Classification Agris : F50 - Anatomie et morphologie des plantes
K01 - Foresterie - Considérations générales
U10 - Informatique, mathématiques et statistiques

Champ stratégique Cirad : CTS 1 (2019-) - Biodiversité

Auteurs et affiliations

• Jucker Tommaso, University of Bristol (GBR) - auteur correspondant
• Fischer Fabian Jörg, University of Bristol (GBR)
• Chave Jérôme, CNRS (FRA)
• Coomes David A., University of Cambridge (GBR)
• Caspersen John, Université de Toronto (CAN)
• Ali Arshad, Hebei University (CHN)
• Loubota Panzou Grace Jopaul, GxABT (BEL)
• Feldpausch Ted R., University of Exeter (GBR)
• Falster Daniel, UNSW Sidney (AUS)
• Usoltsev Vladimir A., Ural State Forest Engineering University (RUS)
• Adu-Bredu Stephen, Forest Research Institute (GHA)
• Alves Luciana F., UC (USA)
• Aminpour Mohammad, Natural Recourses and Watershed Management Office (IRN)
• Angoboy Ilondea Bhely, INERA (COD)
• Anten Niels P.R., Wageningen University (NLD)
• Antin Cécile, IRD (FRA)
• Askari Yousef, Kohgiluyeh and Boyerahmad Agriculture and Natural Resources Research and Education Center (IRN)
• Muñoz Rodrigo, UNAM (MEX)
• Ayyappan Narayanan, Institut français de Pondichéry (IND)
• Balvanera Patricia, UNAM (MEX)
• Banin Lindsay F., Centre for Ecology and Hydrology (GBR)
• Barbier Nicolas, IRD (FRA)
• Battles John J., UC (USA)
• Beeckman Hans, Musée royal de l'Afrique centrale (BEL)
• Bocko Yannick, UMNG (COG)
• Bond-Lamberty Ben, Global Change Research Institute (USA)
• Bongers Frans, Wageningen University (NLD)
• Bowers Samuel, University of Edinburgh (GBR)
• Brade Thomas, University of Edinburgh (GBR)
• Van Breugel Michiel, Smithsonian Tropical Research Institute (PAN)
• Chantrain Arthur, Université de Liège (BEL)
• Chaudhary Rajeev, Ministry of Forest (NPL)
• Dai Jingyu, Peking University (CHN)
• Dalponte Michele, FMACH (ITA)
• Dimobe Kangbéni, Université de Dédougou (BFA)
• Domec Jean-Christophe, Bordeaux Sciences Agro (FRA)
• Doucet Jean-Louis, GxABT (BEL)
• Duursma Remko A., Shinto Labs (NLD)
• Enríquez Moisés, UNAM (MEX)
• van Ewijk Karin Y., Queen's University (CAN)
• Farfan-Rios William, Saint Louis University (USA)
• Fayolle Adeline, GxABT (BEL)
• Forni Eric, CIRAD-ES-UPR Forêts et sociétés (COG)
• Forrester David I., CSIRO (AUS)
• Gilani Hammad, Institute of Space Technology (PAK)
• Godlee John L., University of Edinburgh (GBR)
• Gourlet-Fleury Sylvie, CIRAD-ES-UPR Forêts et sociétés (FRA) ORCID: 0000-0002-1136-4307
• et al.

Source : Cirad-Agritrop (https://agritrop.cirad.fr/601553/)

Métriques

[ Page générée et mise en cache le 2024-12-18 ]